Paper Info
Title
Multiobjective Virtual Machine Placement Mechanisms Using Nature-Inspired Metaheuristic Algorithms In Cloud Environments: A Comprehensive Review
Abstract
Cloud computing introduced a new paradigm in IT industry by providing on-demand, elastic, ubiquitous computing resources for users. In a virtualized cloud data center, there are a large number of physical machines (PMs) hosting different types of virtual machines (VMs). Unfortunately, the cloud data centers do not fully utilize their computing resources and cause a considerable amount of energy waste that has a great operational cost and dramatic impact on the environment. Server consolidation is one of the techniques that provide efficient use of physical resources by reducing the number of active servers. Since VM placement plays an important role in server consolidation, one of the main challenges in cloud data centers is an efficient mapping of VMs to PMs. Multiobjective VM placement is generating considerable interest among researchers and academia. This paper aims to represent a detailed review of the recent state-of-the-art multiobjective VM placement mechanisms using nature-inspired metaheuristic algorithms in cloud environments. Also, it gives special attention to the parameters and approaches used for placing VMs into PMs. In the end, we will discuss and explore further works that can be done in this area of research.
Year
DOI
Venue
2019
10.1002/dac.4068
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
Keywords
Field
DocType
cloud computing, multiobjective optimization, nature-inspired metaheuristic algorithms, server consolidation, virtual machine placement
Virtual machine,Computer science,Real-time computing,Multi-objective optimization,Distributed computing,Cloud computing,Metaheuristic
Journal
Volume
Issue
ISSN
32
14
1074-5351
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Nasim Donyagard Vahed100.34
Mostafa Ghobaei Arani218916.41
Alireza Souri318014.45